diff --git a/examples/README.md b/examples/README.md
index 79b97a740b..018a785578 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -23,7 +23,7 @@ This end-to-end example notebook is focuses on:
 - Sending request to TIS and generating next-item predictions for each session
 
 
-### 3. [Tutorial - End-to-End Session-Based Recommendation on GPU](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/tutorial/)
+### 3. [Tutorial - End-to-End Session-Based Recommendation on GPU](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/tutorial)
 
 This tutorial was presented at the ACM RecSys 2021. It covers the following topics:
 
@@ -32,7 +32,7 @@ This tutorial was presented at the ACM RecSys 2021. It covers the following topi
 - How to build, train and evaluate a session-based recommendation models based on RNN and Transformer architectures with Transformers4Rec library
 - How to deploy a session-based recommendation pipeline (preprocessing workflow and trained model) to the Triton Inference Server
 
-### 4. [Transformers4Rec paper experiments reproducibility](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/t4rec_paper_experiments/)
+### 4. [Transformers4Rec paper experiments reproducibility](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/t4rec_paper_experiments)
 
 This example contains scripts to reproduce the experiments reported in the Transformers4Rec [paper](https://dl.acm.org/doi/10.1145/3460231.3474255) at RecSys 2021. The experiments focused in the session-based recommendation using incremental training and evaluation over time on two e-commerce and two news datasets.